Coursera What is Data Science Week 3 Quiz Answers!

What is Data Science complete course is currently being offered by IBM through Coursera platform and is taught by: Rav Ahuja & Alex Aklson.

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Course Link: https://www.coursera.org/learn/what-is-datascience?

Quiz 5 Answers - The Final Deliverable!

Q1) The report discussed in the reading successfully did the job of using data and analytics to generate the likely economic scenarios.

•  True

•  False

Q2) The ultimate purpose of analytics is to communicate findings to stakeholders to formulate policy or strategy.

• True

• False

Q3) The Untied States Economic Forecast is a publication by McKinsey University Press.

• True

• False

Q4) The report discussed in the reading successfully did the job of:

• Calculating projections for the economy

• Summarizing pages and pages of research

• Convincing the leadership team to act on an initiative

• Using data and analytics to generate the likely economic scenarios

Q5) According to the reading, it is recommended that a team waits until the results of analytics are out before they can decide on the final deliverable.

• True

• False

Extra Questions - Coursera What is Data Science Quiz!

Q6) According to the reading, what is the ultimate purpose of analytics?

• To evangelize data science

• To facilitate meetings between sales and marketing

• To efficiently store big data with minimum storage requirements

• To communicate findings to stakeholders to formulate policy or strategy

Q7) What role of a data scientist is discussed in the reading?

• Using insights to build a narrative to communicate findings

• Managing a team of analysts to create a predictive model

• Developing a strategy to fix the problems in the findings

• Using the data to put together a story that the CEO wants to tell

Q8) According to the reading, in order to produce a compelling narrative, initial planning and conceptualizing of the final deliverable is of extreme importance.

• True

• False

Quiz 6 Answers - The Report Structure!

Q1) Regardless of the length of the final deliverable, which of the following does the author recommend that you include:

• Code

• Discussion Section

• Appendices

• A Cover Page

• Table of Contents

Q2) An introductory section is always helpful in introducing the research methods and presenting the statistical calculations.

• True

• False

Q3) The results section is where you present:

• The empirical findings.
• OR Squared.
• The methods used.
• The conclusion.

Q4) The discussion section is where you introduce the research methods and data sources used for the analysis.

• True

• False

Q5) Adding a list of references and an acknowledgment section are examples of housekeeping, according to the author.

• True

• False

Extra Questions - Coursera What is Data Science Quiz!

Q6) The results section is where you craft your main arguments and present your conclusion.

• True

• False

Q7) The discussion section is where you:

• 
  
• Highlight how your findings provide the ultimate missing piece to the puzzle

• Introduce the research methods and data sources used for the analysis

• Refer the reader to the research question and the knowledge gaps you identified earlier

• Rely on the power of narrative to enable numbers to communicate your important findings to the readers

Q8) Regardless of the length of the final deliverable, the author recommends that it includes a cover page, table of contents, executive summary, a methodology section, and a discussion section.

• True

• False

Q9) An introductory section is always helpful in:

• 
  
• Presenting the statistical calculations

• Introducing the research methods

• Setting up the problem for the reader who might be new to the topic

• Advertising the product

Q10) The results section is where you craft your main arguments and present your conclusion

• True

• False

Q11) The discussion section is where you:

• Introduce the research methods and data sources used for the analysis.

• Highlight how your findings provide the ultimate missing piece to the puzzle.

• Refer the reader to the research question and the knowledge gaps you identified earlier.

• Rely on the power of narrative to enable numbers to communicate your important findings to the readers.

What is Data Science Week 3 Final Exam Answers!

Q1) Based on the Module 2 reading, “Regression”, the real added value of the author’s research on what type of properties is quantifying the magnitude of relationships between housing prices and different determinants?

• Vacant

• Foreclosed

• Residential real estate

• Commercial real estate

Q2) Based on the Module 2 reading, “Regression”, the author’s research revealed that adding what additional room had a bigger impact than adding a bedroom?

• Playroom

• Study

• Washroom

• Theater room

Q3) According to the Module 3 reading, “The Final Deliverable”, the ultimate purpose of analytics is to communicate findings to stakeholders to do what?

• Evangelize data science..

• Formulate policy or strategy

• Facilitate meetings between sales and marketing

• Efficiently store big data with minimum storage requirements

Q4) According to the Module 3 reading, “The Final Deliverable”, the ultimate purpose of analytics is to communicate findings to what people to formulate policy or strategy?

• CEO’s 

• Salespeople

• Marketing

• Stakeholders 

Q5) According to the Module 3 reading, “The Final Deliverable”, the ultimate purpose of _________ is to communicate findings to stakeholders to formulate policy or strategy.

• Sales

• Analytics

• Data science

• Big data 

Q6) The reading in Module 3, “The Final Deliverable”, mentions a common role of a ____________ is to use analytics insights to build a narrative to communicate findings to stakeholders.

• CEO

• CFO

• Engineer

• Data scientist

Q7) Based on the Module 3 reading, “The Final Deliverable”, what is the role of a data scientist?

• Managing a team of analysts to create a predictive model

• Developing a strategy to fix the problems in the findings

• Using insights to build a narrative to communicate findings

• Using the data to put together a story that boosts financial outlooks

Q8) Based on the Module 3 reading, “The Report Structure”, regardless of the length of the ___________, the author recommends that it includes a cover page, table of contents, executive summary, a methodology section, and a discussion section.

• Spreadsheet 

• Data set

• Presentation

• Final deliverable

Q9) Based on the Module 3 reading, “The Report Structure”, regardless of the length of the final deliverable, the author recommends that it includes a cover page, table of contents, executive summary, a methodology section, and a discussion section.

• True

• False

Q10) An introductory section is always helpful in introducing the research methods and presenting the statistical calculations.

• True

• False

Q11) Based on the Module 3 reading, “The Report Structure”, an introductory section is always helpful in setting up the problem for the reader who might be what?

• Wanting to know the research methods

• Looking for the statistical calculations

• New to the topic

• In sales

Q12) According to the Module 1 reading, “The Sexiest Job in the 21st Century”, a report by the McKinsey Global Institute, by 2018, it is projected that there will be a shortage of people with deep analytical skills in the United States. What is the size of this shortage?

• 20,000 – 50,000 people

• 800,000 – 900,000 people

• 140,000 – 190,000 people

• 3 – 6 million people

• 120,000 people

Q13) According to the Module 1 reading, “The Sexiest Job in the 21st Century”, a report published by the McKinsey Global Institute, it is projected that there would be a shortage of 140,000 – 190,000 people with what type of skills in the United States by 2018?

• Social skills

• Economic skills

• Deep analytical skills

• Management skills 

Q14) According to the Module 1 reading, “The Sexiest Job in the 21st Century”, which of the following jobs was called by the Harvard Business Review the sexiest job of the 21st century?

• Coal Mining

• Engineering

• Data Science

• Math and Statistics

• Renewable Energy Engineering

Q15) According to the Module 1 reading, “The Sexiest Job in the 21st Century”, what adjective did Harvard Business Review use to describe the job of Data Science in the 21st century?

• appealing

• easiest

• sexiest

• exciting

Q16) According to the Module 1 reading “What Makes Someone a Data Scientist”, Hal Varian, the chief economist at what company, declared that “the sexy job in the next ten years will be statisticians”?

• Microsoft

• Facebook

• Google

• IBM

Q17) According to the reading Module 1 “What Makes Someone a Data Scientist”, the author defines a data scientist as someone who finds solutions to what, by analyzing data using appropriate tools and then tells stories to communicate their findings to the relevant stakeholders?

• Questions

• Problems

• Drawbacks

• Complications

Q18) According to the Module 1 reading “What Makes Someone a Data Scientist”, the author defines a data scientist as someone who finds solutions to problems by analyzing data using appropriate tools and then tells stories to communicate their findings to whom?

• The public
• The company
• The relevant stakeholders
• Their supervisor

Q19) According to the Module 2 reading “Data Mining”, the output of a data mining exercise largely depends on the quality of what?

• The project

• The material

• The data

• The data scientist

Q20) According to the Module 2 reading “Data Mining”, the ______ of a data mining exercise largely depends on the quality of the data.

• Input

• Difficulty

• Results

• Output

Q21) According to the reading, “Data Mining”, the output of a data mining exercise largely depends on:

• The data scientist

• The quality of the data

• The scope of the project

• The programming language used

Q22) According to the Module 2 reading, “Data Mining”, when data is missing in a systematic way, you should do what?

• Stop immediately

• Extrapolate and average the data 

• Find out who was managing the database

• Determine the impact of the missing data on the results and whether missing data can be excluded from the analysis

Q23) According to the Module 2 reading, “Data Mining”, when data is missing in a systematic way, you should determine the impact of the missing data on the results and whether missing data can be excluded from what?

• The analysis

• The data set

• The study

• The evaluation

Q24) According to the Module 2 reading, “Data Mining”, when data are missing in a systematic way, you can simply extrapolate the data or impute the missing data by filling in the average of the values around the missing data.

• True

• False

Q25) Based on the Module 2 reading, “Regression”, the author’s research on residential real estate properties quantified what?

• The likelihood of a house selling rapidly

• That people hold no basic perceptions on real estate properties

• The relationship between housing and transportation

• The magnitude of relationships between housing prices and different determinants

Q26) Based on the Module 3 reading, “The Report Structure”, an introductory section is always helpful in doing what for the reader who might be new to the topic?

• Setting up the problem

• Describing the data set

• Showing the research methods..

• Presenting the statistical calculations